Influence of the Number of the Features with the Neural Network Function
Alternative metrics PlumXhttp://hdl.handle.net/11012/58404
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This contribution is devoted to the evaluation of probability of success for classification and recognition techniques. It also depends on a proper selection of input elements-features and their number. Error probability is proportional indirectly on a quantity and quality of information provided to a classifier. It can be affected either by a learning algorithm itself and classification or by an element number on classification correctuers has been verified for Kohonen's map designed for a recognition of Czech digits.
Document typePeer reviewed
SourceRadioengineering. 1996, vol. 5, č. 1, s. 15-18. ISSN 1210-2512
- 1996/1